
Mental Health Prediction using Machine Learning and Deep Learning Technology
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Mental Health Prediction using Machine Learning and Deep Learning Technology
About this book
Today the integration of technologies like Machine Learning (ML) and Deep Learning (DL) are enabling us to understand, predict, and manage the rising mental health concerns better. This volume provides a comprehensive roadmap for researchers, practitioners, and enthusiasts to explore how artificial intelligence can revolutionize mental healthcare. The book delves into the cutting-edge innovations in predictive modeling, offering insights into how ML and DL algorithms can analyze complex psychological data, detect early warning signs, and predict mental health outcomes. Designed for a diverse audience, including data scientists, mental health professionals, and students, it combines technical rigor with real-world applications. With case studies, hands-on examples, and future-forward discussions, this book empowers readers to contribute to the next wave of mental health solutions powered by AI.
Frequently asked questions
- Essential is ideal for learners and professionals who enjoy exploring a wide range of subjects. Access the Essential Library with 800,000+ trusted titles and best-sellers across business, personal growth, and the humanities. Includes unlimited reading time and Standard Read Aloud voice.
- Complete: Perfect for advanced learners and researchers needing full, unrestricted access. Unlock 1.4M+ books across hundreds of subjects, including academic and specialized titles. The Complete Plan also includes advanced features like Premium Read Aloud and Research Assistant.
Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Information
Table of contents
- Cover Page
- Title Page
- Copyright Page
- Preface
- Contents
- 1. Introduction to Mental Health Issues and Challenges
- 2. Neurological and Learning Disabilities in Children
- 3. Psychological Problems in Teenage
- 4. Mental Health Challenges in Adults
- 5. Machine Learning Techniques to Identify Challenges in Mental Health
- 6. Deep Learning Techniques to Identify Mental Disabilities
- 7. Case Study
- 8. Conclusion and Future Work
- Index